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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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techniques including deep neural networks and large language models (such as GPTs), with state-of-the-art functional genomics approaches, including crop genomics, genome editing, and single cell multiomics
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energy loss spectroscopy and other applied transmission electron microscopy techniques is preferred. The position is available immediately and is expected to run for 2 years pending availability of funding
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the Department of Physics and Astronomy. The laboratory focuses on the application of physical science in fundamental cell biology, which have a direct therapeutic impact on various diseases, such as cancer
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: (1) Conducting high fidelity CFD simulations of combustion, heat transfer, chemical reactions, and phase change phenomena in industrial processes using commercial software. (2) Optimizing existing in